CN113933035A - Rotary mechanical equipment fault diagnosis method and system based on correlation analysis - Google Patents
Rotary mechanical equipment fault diagnosis method and system based on correlation analysis Download PDFInfo
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Abstract
The invention relates to the technical field of fault diagnosis, and provides a rotary mechanical equipment fault diagnosis method and system based on correlation analysis. The method comprises the following steps: acquiring an operation vibration power spectrum of rotary mechanical equipment under an operation condition; the operating vibration power spectrum is obtained by converting a vibration signal of the rotating mechanical equipment in a vibration frequency domain within a set time period; calculating to obtain a correlation coefficient based on the operation vibration power spectrum and the fault power spectrum; the fault power spectrum is a fault vibration power spectrum of the rotating mechanical equipment under a set fault; and obtaining a diagnosis conclusion of the set fault according to the correlation coefficient. On one hand, the invention simplifies the operation complexity of fault diagnosis and improves the efficiency of fault diagnosis; on the other hand, the accurate fault type can be acquired in a more targeted manner, and effective support is provided for quick fault positioning in a special environment.
Description
Technical Field
The invention relates to the technical field of fault diagnosis, in particular to a rotary mechanical equipment fault diagnosis method and system based on correlation analysis.
Background
Along with the development requirement of intellectualization, a plurality of vibration sensors are generally arranged on important rotating equipment (such as a steam turbine, a generator, a propulsion motor and the like in ship equipment) of modern large-scale mechanical equipment, the vibration sensors are respectively used for carrying out comprehensive vibration monitoring on the rotating mechanical equipment in different directions, monitoring data are analyzed, when the rotating mechanical equipment is abnormal, an alarm signal is sent out, the equipment is shut down after manual confirmation, and a maintainer is informed to arrive at the site in time.
The traditional vibration acquisition and analysis system effectively guarantees safe operation of equipment and provides operation and maintenance guarantee for abnormal alarming. However, the fault location still requires the maintenance personnel to carry out disassembly and inspection according to the actual situation.
The device is limited by the space of the device and the disassembly condition, and the problems of difficult fault location, low efficiency of making a maintenance scheme, long maintenance time and the like exist in the prior art, so that the safety and the economical efficiency of the operation of the device are influenced.
Therefore, how to provide a fault diagnosis method for rotary mechanical equipment, which can realize rapid positioning and efficient maintenance, becomes a technical problem which needs to be solved urgently in the industry.
Disclosure of Invention
The invention provides a rotary mechanical equipment fault diagnosis method and system based on correlation analysis, which are used for solving the defects of difficulty in fault location, low maintenance scheme formulation efficiency and long maintenance time in the prior art and realizing the fault diagnosis of rotary mechanical equipment capable of realizing quick location and high-efficiency maintenance.
The invention provides a rotary mechanical equipment fault diagnosis method based on correlation analysis, which comprises the following steps:
acquiring an operation vibration power spectrum of rotary mechanical equipment under an operation condition; the operating vibration power spectrum is obtained by converting a vibration signal of the rotating mechanical equipment in a vibration frequency domain within a set time period;
calculating to obtain a correlation coefficient based on the operation vibration power spectrum and the fault power spectrum; the fault power spectrum is a fault vibration power spectrum of the rotating mechanical equipment under a set fault;
and obtaining a diagnosis conclusion of the set fault according to the correlation coefficient.
According to the method for diagnosing the fault of the rotary mechanical equipment based on the correlation analysis, the operating vibration power spectrum comprises a first component Y representing the axial vibration power of the rotary mechanical equipment1And at least one second component Y representing the radial vibration power of said rotating mechanical equipment2(ii) a The fault power spectrum includes a representation of a set fault, theFault axial component X 'of axial vibration power of rotating machinery equipment'1And at least one fault radial component X 'representing the radial vibration power of the rotating mechanical equipment'2；
The second components correspond one-to-one to the failed radial components.
According to the fault diagnosis method for the rotary mechanical equipment based on the correlation analysis, provided by the invention, the correlation coefficient comprises a first component correlation coefficient eta1And a second component correlation coefficient eta2；
The first component correlation coefficient η1Satisfies the following conditions:
the second component correlation coefficient η1Satisfies the following conditions:
in the formula, p is the value number of the frequency in the operation vibration power spectrum and the fault power spectrum; i is the sequence number of the frequency in the operation vibration power spectrum and the fault power spectrum, and i belongs to [1, p ];
Y1(fi) Is a first component Y1At frequency fiTaking the value of (A); x'1(fi) Is a fault axial component X'1At frequency fiTaking the value of (A);
is a first component Y1The mean value of (a);
is the mean of the fault axial components;
Y2(fi) Is a second component Y2At frequency fiTaking the value of (A); x'2(fi) Is a fault radial component X'2At frequencyRate fiTaking the value of (A);
is a second component Y1The mean value of (a);
is the mean of the radial components of the fault.
According to the rotary mechanical equipment fault diagnosis method based on the correlation analysis, provided by the invention, the value of the correlation coefficient is a first component correlation coefficient eta1And a second component correlation coefficient eta2Is measured.
According to the rotary mechanical equipment fault diagnosis method based on correlation analysis provided by the invention, the fault axial component X'1Under the set fault, the mean value of axial components in at least two fault vibration power spectrums of the rotating mechanical equipment in different time periods; the fault radial component X'2Is the mean value of the radial components in at least two fault vibration power spectrums of the rotating mechanical equipment in different time periods under the set fault.
According to the fault diagnosis method for the rotary mechanical equipment based on the correlation analysis, the set fault comprises any one or any combination of more of rotating stall and surge, rotor unbalance, rotor misalignment, rotor cracks, oil film whirl and oscillation, friction of moving and static parts and mechanical looseness.
The invention also provides a rotary mechanical equipment fault diagnosis system based on correlation analysis, which comprises the following components:
the acquisition module is used for acquiring an operation vibration power spectrum of the rotary mechanical equipment under an operation working condition; the operating vibration power spectrum is obtained by converting a vibration signal of the rotating mechanical equipment in a vibration frequency domain within a set time period;
the calculation module is used for calculating to obtain a correlation coefficient based on the operation vibration power spectrum and the fault power spectrum; the fault power spectrum is a fault vibration power spectrum of the rotating mechanical equipment under a set fault;
and the conclusion module is used for obtaining the diagnosis conclusion of the set fault according to the correlation coefficient.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the method for diagnosing the fault of the rotating mechanical equipment based on the correlation analysis.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for diagnosing a fault of a rotating mechanical equipment based on a correlation analysis as set forth in any one of the above.
The present invention also provides a computer program product comprising a computer program which, when being executed by a processor, carries out the steps of the method for diagnosing a fault of a rotating mechanical equipment based on correlation analysis as described in any one of the above.
According to the rotary mechanical equipment fault diagnosis method and system based on correlation analysis, provided by the invention, the vibration power of the rotary mechanical equipment is expanded on the vibration frequency domain within a set time period to obtain the operation vibration power spectrum, and correlation analysis is carried out on the operation vibration power spectrum and the fault power spectrum to obtain the correlation coefficient, so that the operation complexity of fault diagnosis is simplified, and the fault diagnosis efficiency is improved;
meanwhile, through the correlation analysis of the operation vibration power spectrum and the fault power spectrum of the specific fault, the accurate fault type can be obtained more pertinently, and effective support is provided for quick fault positioning in special environments (such as environments with narrow space and limited disassembly conditions in ship mechanical equipment).
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In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow diagram of a method for diagnosing faults of rotating machinery equipment based on correlation analysis according to the present invention;
FIG. 2 is a schematic diagram of a rotary mechanical equipment vibration sensor acquisition and deployment provided by an embodiment of the invention;
FIG. 3 is a schematic structural diagram of a rotary mechanical equipment fault diagnosis system based on correlation analysis provided by the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.
Reference numerals:
1: an acquisition module; 2: a calculation module; 3: a conclusion module;
410: a processor; 420: a communication interface; 430: a memory;
440: a communication bus.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The method for diagnosing the fault of the rotary mechanical equipment based on the correlation analysis is described in the following with reference to fig. 1-2.
As shown in fig. 1, an embodiment of the present invention provides a method for diagnosing a fault of a rotating mechanical equipment based on correlation analysis, including:
103, calculating to obtain a correlation coefficient based on the operation vibration power spectrum and the fault power spectrum; the fault power spectrum is a fault vibration power spectrum of the rotating mechanical equipment under a set fault;
and 105, obtaining a diagnosis conclusion of the set fault according to the correlation coefficient.
In this embodiment, the diagnosis conclusion is made for the set fault, and when the method is actually applied to fault diagnosis, a plurality of set faults can be set, and the diagnosis conclusion is obtained by sequentially using the method of this embodiment.
The diagnosis conclusion is obtained based on the correlation coefficient, specifically, the diagnosis conclusion may be a correlation coefficient value itself, a normalized correlation coefficient value or other correlation coefficient values subjected to mathematical computation, a binary conclusion (e.g., failure, non-failure) judged according to a set threshold or set, or a multi-valued discrete conclusion (e.g., failure risk level 1, level 2, level 3 …) judged according to a set threshold or set.
For a plurality of set fault troubleshooting scenes of the diagnosis conclusion of the non-binary conclusion, sequencing can be carried out according to the diagnosis conclusion of each set fault, and subsequent troubleshooting and maintenance work is carried out in sequence from the set fault with higher risk to the set fault with lower risk.
In a preferred embodiment, the vibration power spectrum in step 101 includes a spectrum of vibration power components in at least two directions, and the number of components of the vibration power spectrum is related to the number of vibration sensors disposed on the rotating mechanical equipment. The at least two directions should generally be axial and radial.
The beneficial effect of this embodiment lies in:
by means of the technical means that the vibration power of the rotary mechanical equipment is expanded on a vibration frequency domain within a set time period to obtain an operation vibration power spectrum, and correlation analysis is performed on the operation vibration power spectrum and a fault power spectrum to obtain a correlation coefficient, the operation complexity of fault diagnosis is simplified, and the fault diagnosis efficiency is improved;
meanwhile, through the correlation analysis of the operation vibration power spectrum and the fault power spectrum of the specific fault, the accurate fault type can be obtained more pertinently, and effective support is provided for quick fault positioning in special environments (such as environments with narrow space and limited disassembly conditions in ship mechanical equipment).
According to the above embodiment, in the present embodiment:
the operating vibration power spectrum includes a first component Y representing axial vibration power of the rotating mechanical equipment1And at least one second component Y representing the radial vibration power of said rotating mechanical equipment2(ii) a The fault power spectrum comprises a fault axial component X 'indicating the axial vibration power of the rotary mechanical equipment under the set fault'1And at least one fault radial component X 'representing the radial vibration power of the rotating mechanical equipment'2；
The second components correspond one-to-one to the failed radial components.
The correlation coefficient comprises a first component correlation coefficient eta1And a second component correlation coefficient eta2；
The first component correlation coefficient η1Satisfies the following conditions:
the second component correlation coefficient η1Satisfies the following conditions:
in the formula, p is the value number of the frequency in the operation vibration power spectrum and the fault power spectrum; i is the sequence number of the frequency in the operation vibration power spectrum and the fault power spectrum, and i belongs to [1, p ];
Y1(fi) Is a first component Y1At frequency fiTaking the value of (A); x'1(fi) Is a fault axial component X'1At frequency fiTaking the value of (A);
is a first component Y1The mean value of (a);
is the mean of the fault axial components;
Y2(fi) Is a second component Y2At frequency fiTaking the value of (A); x'2(fi) Is a fault radial component X'2At frequency fiTaking the value of (A);
is a second component Y1The mean value of (a);
is the mean of the radial components of the fault.
The value of the correlation coefficient is a first component correlation coefficient eta1And a second component correlation coefficient eta2Is measured.
The fault axial component X'1Under the set fault, the mean value of axial components in at least two fault vibration power spectrums of the rotating mechanical equipment in different time periods; the fault radial component X'2Is the mean value of the radial components in at least two fault vibration power spectrums of the rotating mechanical equipment in different time periods under the set fault.
The set fault comprises any one or any combination of rotating stall and surge, rotor imbalance, rotor misalignment, rotor cracking, oil whirl and oscillation, dynamic and static part friction and mechanical looseness.
The beneficial effect of this embodiment lies in:
by means of the technical means that the vibration power of the rotary mechanical equipment is expanded on a vibration frequency domain within a set time period to obtain an operation vibration power spectrum, and correlation analysis is performed on the operation vibration power spectrum and a fault power spectrum to obtain a correlation coefficient, the operation complexity of fault diagnosis is simplified, and the fault diagnosis efficiency is improved;
meanwhile, through the correlation analysis of the operation vibration power spectrum and the fault power spectrum of the specific fault, the accurate fault type can be obtained more pertinently, and effective support is provided for quick fault positioning in special environments (such as environments with narrow space and limited disassembly conditions in ship mechanical equipment).
According to any of the above embodiments, a more specific description will be provided below taking a rotating machinery equipment scenario in a ship as an example.
The embodiment provides a fault diagnosis system of ship rotating machinery equipment based on correlation analysis.
Just as the introduction of the background art, the safe operation of boats and ships has effectively been ensured to traditional boats and ships vibration collection and analysis system, but after the maintainer in time arrived the scene, boats and ships because the space is narrow and small, restriction factors such as dismantlement condition, very difficult quick fault location carries out, leads to being difficult to formulate effectual maintenance scheme, causes important rotatory mechanical equipment's long-time shutdown, seriously influences the security and the economic nature of boats and ships operation.
The embodiment provides a ship rotating machinery equipment fault diagnosis system based on correlation analysis:
firstly, combing common fault modes of rotary mechanical equipment, monitoring vibration signals of the rotary mechanical equipment in the axial direction, the horizontal direction and the vertical direction in a laboratory according to each fault mode, carrying out power spectrum analysis, and constructing a fault power spectrum library of the rotary mechanical equipment;
secondly, deploying a vibration sensor around the rotating mechanical equipment on the ship to monitor vibration signals in the axial direction, the horizontal direction and the vertical direction in real time, and performing power spectrum analysis;
and finally, continuously analyzing the correlation between the vibration power spectrums in the three directions monitored in real time and the vibration power spectrums in the three directions corresponding to the fault modes in the fault power spectrum library, and when the rotary mechanical equipment has a fault alarm, performing fault diagnosis by a maintainer according to the correlation analysis result, so that the accuracy of a maintenance scheme can be effectively improved, and the safety of a ship can be guaranteed.
Specifically, the method of the embodiment includes:
the method comprises the following steps: vibration sensor acquisition deployment
The vibration sensors are arranged near the rotary mechanical equipment along the axial direction, the horizontal direction and the vertical direction, and vibration signals in the three directions are monitored by the acquisition industrial personal computer.
Step two: fault power spectrum library construction
On ships, common failure modes of rotating mechanical equipment mainly comprise seven types, namely unbalanced rotor, misalignment of the rotor, rotor cracks, oil film vortex motion and oscillation, friction of moving and static parts, mechanical looseness, rotating stall and surge. Since the main function of the rotary machine is performed by the rotary motion, the above seven kinds of failures are generally accompanied by abnormal vibrations.
In a laboratory, the rotating machinery is provided with the seven fault modes. At a plurality of [ t ] for each type of failure modea，tb]Time period, monitoring axial, horizontal and vertical three time sequence vibration signals V1(t)、V2(t)、V3(t) of (d). On an acquisition industrial personal computer, respectively performing power spectrum analysis (taking MATLAB as an example, a pwelch function can be adopted) on three time sequence signals based on software such as MATLAB, LabView or Origin; the specific process is as follows:
first, for a certain period of time [ t ]a，tb]The time sequence signals collected by the three vibration sensors have m data, which are respectively as follows:
V1(m)＝[V1(ta)...V1(tb)]；
V2(m)＝[V2(ta)...V2(tb)]；
V3(m)＝[V3(ta)...V3(tb)]。
aiming at the time sequence signal acquired by each vibration sensor, on the basis of software such as MATLAB, LabView or Origin and the like, k-channel time sequence signal V is acquired1(m)、V2(m)、V3(m) respectively carrying out power spectrum analysis, dividing the frequency domain into (p-1) parts, and forming three vibration sensors at time [ t ]a，tb]Power spectrum of (d):
X1(ta～tb)＝[X1(f1),X1(f2),X1(f3)...X1(fp)]；
X2(ta～tb)＝[X2(f1),X2(f2),X2(f3)...X2(fp)]；
X3(ta～tb)＝[X3(f1),X3(f2),X3(f3)...X3(fp)]。
in the formula,
wherein f issThe total width of the frequency domain is determined by the sampling frequency of the sensor; in a preferred embodiment, fsTaking 1/2 the value of the sensor sampling frequency.
Second, for each [ t ]a，tb]Time periods were analyzed as above to yield a series of [ t ]a，tb]The power spectrums of the three directional vibration sensors in the time period are respectively subjected to averaging processing to obtain the power spectrums X of the three directional vibration sensors in the fault mode1′(ta～tb)、X2′(ta～tb)、X3′(ta～tb). Wherein,
X1′(ta～tb)＝[X1′(f1),X1′(f2),X1′(f3)...X1′(fp)]；
X2′(ta～tb)＝[X2′(f1),X2′(f2),X2′(f3)...X2′(fp)]；
f3′(ta～tb)＝[X3′(f1),X3′(f2),X3′(f3)...X3′(fp)]。
and finally, respectively carrying out the processing in the seven fault modes, and inputting vibration power spectrums in three directions corresponding to the seven fault modes into a database to form a fault power spectrum library of the rotary mechanical equipment.
Step three: vibration real-time monitoring and correlation analysis under operation condition
Deploying a server on the ship, storing the fault power spectrum library of the rotating mechanical equipment, monitoring the rotating mechanical equipment in real time under the operating condition, and continuously calculating [ t ] according to the step twoa，tb]Power spectrum Y of three-direction vibration sensor in time period1(ta～tb)、Y2(ta～tb)、Y3(ta～tb). Wherein,
Y1(ta～tb)＝[Y1(f1),Y1(f2),Y1(f3)...Y1(fp)]；
Y2(ta～tb)＝[Y2(f1),Y2(f2),Y2(f3)...Y2(fp)]；
Y3(ta～tb)＝[Y3(f1),Y3(f2),Y3(f3)...Y3(fp)]。
on a server, based on software such as MATLAB, LabView or Origin, the t of the real-time monitoring is measureda，tb]And (3) continuously analyzing the correlation between the vibration power spectrums in the three directions in the time period and the vibration power spectrums in the three directions corresponding to the seven fault modes in the fault power spectrum library respectively, and calculating correlation coefficients:
wherein,
are respectively [ Y1(f1),Y1(f2),Y1(f3)...Y1(fp)]、[Y2(f1),Y2(f2),Y2(f3)...Y2(fp)]、[Y3(f1),Y3(f2),Y3(f3)...Y3(fp)]Average value of (d);
are respectively [ X ]1′(f1),X1′(f2),X1′(f3)...X1′(fp)]、[X2′(f1),X2′(f2),X2′(f3)...X2′(fp)]、[X3′(f1),X3′(f2),X3′(f3)...X3′(fp)]Average value of (a).
Therefore, the correlation coefficient eta of the vibration power spectrum in three directions under each type of fault mode can be obtained1(ta～tb)、η2(ta～tb)、η3(ta～tb) Setting an average correlation coefficient η' (t)a～tb)，
That is, at [ t ]a，tb]In the time period, the average correlation coefficient eta 'of the vibration power spectrum corresponding to the seven fault modes can be obtained'1(ta～tb)、η′2(ta～tb)…η′7(ta～tb)。
Step four: performing fault diagnosis according to the correlation analysis result
When the rotary mechanical equipment has fault alarm, the maintainer can make a fault according to the ta，tb]The specific values of the average correlation coefficient of the vibration power spectrum in the time period are used for diagnosing the fault modes corresponding to the coefficients from large to small in sequence, and corresponding maintenance schemes are formulated, so that the accuracy of the maintenance schemes can be effectively improved, and the safety of ships can be guaranteed.
The beneficial effect of this embodiment lies in:
through carrying out continuous correlation analysis on the real-time monitoring power spectrum of the vibration of the rotary mechanical equipment and the fault power spectrum library, when the rotary mechanical equipment gives a fault alarm, a maintainer carries out fault diagnosis according to the correlation analysis result, and the accuracy of a maintenance scheme is effectively improved.
In the following, a rotary mechanical equipment fault diagnosis device based on correlation analysis provided by the present invention is described, and the rotary mechanical equipment fault diagnosis device based on correlation analysis described below and the rotary mechanical equipment fault diagnosis method based on correlation analysis described above may be referred to correspondingly.
The embodiment of the invention provides a rotary mechanical equipment fault diagnosis system based on correlation analysis, which comprises:
the acquisition module 1 is used for acquiring an operation vibration power spectrum of the rotating mechanical equipment under an operation working condition; the operating vibration power spectrum is obtained by converting a vibration signal of the rotating mechanical equipment in a vibration frequency domain within a set time period;
the calculation module 2 is used for calculating to obtain a correlation coefficient based on the operation vibration power spectrum and the fault power spectrum; the fault power spectrum is a fault vibration power spectrum of the rotating mechanical equipment under a set fault;
and the conclusion module 3 is used for obtaining the diagnosis conclusion of the set fault according to the correlation coefficient.
The beneficial effect of this embodiment lies in:
by means of the technical means that the vibration power of the rotary mechanical equipment is expanded on a vibration frequency domain within a set time period to obtain an operation vibration power spectrum, and correlation analysis is performed on the operation vibration power spectrum and a fault power spectrum to obtain a correlation coefficient, the operation complexity of fault diagnosis is simplified, and the fault diagnosis efficiency is improved;
meanwhile, through the correlation analysis of the operation vibration power spectrum and the fault power spectrum of the specific fault, the accurate fault type can be obtained more pertinently, and effective support is provided for quick fault positioning in special environments (such as environments with narrow space and limited disassembly conditions in ship mechanical equipment).
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)410, a communication Interface 420, a memory (memory)430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. Processor 410 may invoke logic instructions in memory 430 to perform a method of rotary mechanical equipment fault diagnosis based on correlation analysis, the method comprising: acquiring an operation vibration power spectrum of rotary mechanical equipment under an operation condition; the operating vibration power spectrum is obtained by converting a vibration signal of the rotating mechanical equipment in a vibration frequency domain within a set time period; calculating to obtain a correlation coefficient based on the operation vibration power spectrum and the fault power spectrum; the fault power spectrum is a fault vibration power spectrum of the rotating mechanical equipment under a set fault; and obtaining a diagnosis conclusion of the set fault according to the correlation coefficient.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention further provides a computer program product, the computer program product including a computer program, the computer program being stored on a non-transitory computer-readable storage medium, wherein when the computer program is executed by a processor, the computer is capable of executing the method for diagnosing a fault of a rotating mechanical equipment based on correlation analysis provided by the above methods, the method including: acquiring an operation vibration power spectrum of rotary mechanical equipment under an operation condition; the operating vibration power spectrum is obtained by converting a vibration signal of the rotating mechanical equipment in a vibration frequency domain within a set time period; calculating to obtain a correlation coefficient based on the operation vibration power spectrum and the fault power spectrum; the fault power spectrum is a fault vibration power spectrum of the rotating mechanical equipment under a set fault; and obtaining a diagnosis conclusion of the set fault according to the correlation coefficient.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the correlation analysis-based fault diagnosis method provided by the above methods, the method including: acquiring an operation vibration power spectrum of rotary mechanical equipment under an operation condition; the operating vibration power spectrum is obtained by converting a vibration signal of the rotating mechanical equipment in a vibration frequency domain within a set time period; calculating to obtain a correlation coefficient based on the operation vibration power spectrum and the fault power spectrum; the fault power spectrum is a fault vibration power spectrum of the rotating mechanical equipment under a set fault; and obtaining a diagnosis conclusion of the set fault according to the correlation coefficient.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A rotary mechanical equipment fault diagnosis method based on correlation analysis is characterized by comprising the following steps:
acquiring an operation vibration power spectrum of rotary mechanical equipment under an operation condition; the operating vibration power spectrum is obtained by converting a vibration signal of the rotating mechanical equipment in a vibration frequency domain within a set time period;
calculating to obtain a correlation coefficient based on the operation vibration power spectrum and the fault power spectrum; the fault power spectrum is a fault vibration power spectrum of the rotating mechanical equipment under a set fault;
and obtaining a diagnosis conclusion of the set fault according to the correlation coefficient.
2. The correlation analysis-based rotating machinery equipment fault diagnosis method according to claim 1, wherein the operating vibration power spectrum includes a first component Y representing an axial vibration power of the rotating machinery equipment1And at least one second component Y representing the radial vibration power of said rotating mechanical equipment2(ii) a The fault power spectrum comprises a fault axial component X 'indicating the axial vibration power of the rotary mechanical equipment under the set fault'1And at least one fault radial component X 'representing the radial vibration power of the rotating mechanical equipment'2；
The second components correspond one-to-one to the failed radial components.
3. The correlation analysis-based rotary mechanical equipment fault diagnosis method according to claim 2, wherein the correlation coefficient includes a first component correlation coefficient η1And a second component correlation coefficient eta2；
The first component correlation coefficient η1Satisfies the following conditions:
the second component correlation coefficient η1Satisfies the following conditions:
in the formula, p is the value number of the frequency in the operation vibration power spectrum and the fault power spectrum; i is the sequence number of the frequency in the operation vibration power spectrum and the fault power spectrum, and i belongs to [1, p ];
Y1(fi) Is a first component Y1At frequency fiTaking the value of (A); x'1(fi) Is a fault axial component X'1At frequency fiTaking the value of (A);
is a first component Y1The mean value of (a);
is the mean of the fault axial components;
Y2(fi) Is a second component Y2At frequency fiTaking the value of (A); x'2(fi) Is a fault radial component X'2At frequency fiTaking the value of (A);
is a second component Y1The mean value of (a);
is the mean of the radial components of the fault.
4. The rotary mechanical equipment fault diagnosis method based on correlation analysis of claim 3, wherein the value of the correlation coefficient is a first component correlation coefficient η1And a second component correlation coefficient eta2Is measured.
5. The correlation analysis-based rotary mechanical equipment fault diagnosis method according to claim 2, wherein the fault axial component X'1Under the set fault, the mean value of axial components in at least two fault vibration power spectrums of the rotating mechanical equipment in different time periods; the fault radial component X'2Is the mean value of the radial components in at least two fault vibration power spectrums of the rotating mechanical equipment in different time periods under the set fault.
6. The correlation analysis-based rotating machinery equipment fault diagnosis method according to any one of claims 1 to 5, wherein the set fault comprises any one or any combination of rotating stall and surge, rotor imbalance, rotor misalignment, rotor cracking, oil whirl and oscillation, dynamic and static part friction, and mechanical looseness.
7. A rotary machine equipment fault diagnosis system based on correlation analysis, comprising:
the acquisition module is used for acquiring an operation vibration power spectrum of the rotary mechanical equipment under an operation working condition; the operating vibration power spectrum is obtained by converting a vibration signal of the rotating mechanical equipment in a vibration frequency domain within a set time period;
the calculation module is used for calculating to obtain a correlation coefficient based on the operation vibration power spectrum and the fault power spectrum; the fault power spectrum is a fault vibration power spectrum of the rotating mechanical equipment under a set fault;
and the conclusion module is used for obtaining the diagnosis conclusion of the set fault according to the correlation coefficient.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the correlation analysis based rotating mechanical equipment fault diagnosis method according to any one of claims 1 to 6.
9. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the steps of the method for diagnosing a fault of a rotating mechanical equipment based on a correlation analysis according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the steps of the method for diagnosing a fault of a rotating mechanical equipment based on a correlation analysis according to any one of claims 1 to 6.
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